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The primary goal of this investigation was to determine the relative risk of traffic accidents in students. In a two year period, a survey amongst 2,325 students was carried out, and 3,645 injuries sustained by students treated at our hospital were analyzed. Moped-riding in adolescents were associated with a 23.75-fold increased risk for injury as compared to biking. Children who ride bicycles have a 2.2-fold increased risk for an injury sustained by traffic accidents compared to pedestrians. None of 50 injured bicycle riders with helmet had an AIS for head injuries of more than 2. 24 of 233 injured bicycle drivers without helmet had an AIS for head injuries of more than 2. The use of a protective helmet significantly reduced the severity of head injuries. The level of awareness towards danger and a history of previous accidents correlate with the likelihood of future accidents. Due to the severity of traffic accidents, more adequate prevention measures (wearing of bicycle helmets and better education for moped riders) are urgently needed.
Aim of the study was to evaluate the protective effect of bicycle helmets particularly considering injuries to the head and to the face. Accidents with the participation of bicyclists which occurred from 2000 to 2007 were chosen from GIDAS. We observed that injuries to the head and face were more severe in the group of non-helmeted riders. There seems to be no significant difference in injuries with AIS 3-6. Altogether 26 cyclists were killed. 2 of them wore a helmet (1% of helmeted cyclists), 24 did not (1% of non-helmeted cyclists). Only one killed rider (without helmet) did not suffer from polytrauma (only head injuries recorded). The findings seem to support the thesis of a preventive effect of the bicycle helmet, however the two groups are different in their characteristics related to riding speed. Necessarily we need a multivariate model to evaluate the effect of helmets.
The paper gives an overview of the recent (mostly 2012) figures of killed bus/coach occupants (drivers and passengers) in 27 Member States of the European Union as reported by CARE. The Evolution of the figures of bus/coach occupants killed in road accidents urban, rural without motorway and on motorways from 1991 to 2010 in 15 Member States of the EU supplements this information. More detailed are the figures reported for Germany by the Federal Statistics. The paper displays long-term evaluations (1957 to 2012) for killed, seriously and slightly injured occupants in all kinds of buses/coaches. Midterm evaluations (1995 to 2012) of the figures of fatalities and casualties are displayed for different busses according to their identification of road using as coaches, urban buses, school buses, trolley buses and "other buses". To be able to compare the evolutions of the safety of vehicle occupants it is customary to use different risk indicators. Calculations and illustrations for three often used indicators with their development over time are given: fatalities, seriously injured and slightly injured per 100,000 vehicles registered, per 1 billion (109) vehicle-kilometres travelled and per 1 billion (109) person-kilometres. These indicators are shown for occupants of cars, goods vehicles and buses/coaches. For the period from 1957 until 2012 it is obvious, that for all three vehicle categories analysed there was a clear long-term trend towards more occupant safety in terms of casualties per vehicles registered and per vehicle mileage. This was most significant for car occupants but it can be seen for bus/coach occupants and goodsvehicle occupants as well. Figures of killed occupants and of casualties related to person-kilometres are calculated and displayed for the shorter period 1995 to 2012. Here it becomes obvious that the bus/coach is still the safest mode of transport for the occupants of road vehicles. Graphs for the casualty risk indices still show significantly higher risks for car occupants despite the corresponding curve moved sustainable downwards. It is remarkable, that the risks of being killed or injured for the occupants of urban buses is growing whereas the corresponding risk for the occupants of coaches in line traffic tends downwards. The article ends with a short comparison and discussion of the risk indicators which are actually published for the occupants (driver and passengers) of cars and the passengers of buses/coaches, railroads, trams and airplanes. The interpretation of such information depends on the perception and it seems that for a complete view not only one indicator should be used and the evolutions of the indicator values during longer periods (as displayed with examples in the paper) should also be taken into account.
Data concerning accidents involving personal injury which have been collected in the context of in-depth investigations on scene in the Hannover area since 1973 and in the Dresden area since 1999 represent an important basis for empirical traffic safety research. At national and international level various analyses and comparisons are carried out on the basis of "in-depth data" from the above mentioned investigations. In-depth data play a decisive role e.g. within the validation of EuroNCAP results on secondary safety (crashworthiness) of individual passenger car models. Thus, statistically sound methods of data analysis and population parameter estimation are of high importance. Since the 1st of August 1984 the "in-depth investigations on scene" in the Hannover area have been carried out according to a sampling plan developed by HAUTZINGER in the context of a research project on behalf of BASt. In the meantime a second region of in-depth investigation on scene was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for the two above mentioned surveys. The objective of a current research project (topic of this contribution) is, among other things, to examine and adjust the previous weighting and expansion method for the two regional accident investigations to the current general conditions.
Since 2005, the motorcycle crash fatalities in the US exceeded 10% of the overall annual traffic fatalities. Consequently, it has become critical to gain in-depth understanding of the factors and characteristics contributing to motorcycle crashes. Unfortunately, there currently exists no database gathering the necessary information for an in-depth analysis of the US motorcycle crashes. So this study utilizes the NASS/CDS database (National Automotive Sampling System, Crashworthiness Data System) in order to gain insights into the patterns and factors leading to a NASS/CDS motorcycle crash, from 1997 to 2007. NASS/CDS samples about 5,000 passenger car tow-away crashes per year. Each case includes photographs and detailed data on crash and pre-crash characteristics, vehicle types, trajectories, types of impact, and other pertinent roadway and crash scene information, allowing an in-depth investigation of the crash mechanisms. However, the NASS/CDS sampling process specifically focuses on passenger car crashes, so the cases extracted only correspond to crashes in which a passenger vehicle was towed, and a motorcycle was somehow involved. Thus, a by-hand in-depth review of about 200 cases allowed retrieving 106 relevant crashes for this study, tending to represent the severe passenger vehicle(s) versus motorcycle(s) crashes on US roads. The findings lead to the conclusion that these crashes mostly result from the low conspicuity of the motorcycle, and from the inability of the car drivers to fully appreciate and anticipate the behavior of a motorcycle. Indeed, it has been shown that, first, the car drivers involved in these cases did not attempt any avoidance maneuver, second, they were largely of ages under 25, and finally, the majority of the crashes were in an intersection scenario. In addition, the two major scenarios unveiled were the car attempting a left turn from the opposite direction and the car attempting a left turn from the right. The paper mentions several solutions to enhance the motorcycle- conspicuity and to allow the car drivers to better anticipate its behavior, which seem to be key factors in the intersection-related crashes (and more generally in the passenger vehicle(s) versus motorcycle(s) crashes).
Seit dem 1. Januar 1999 werden in Deutschland im Zentralen Fahrerlaubnisregister (ZFER) sämtliche erteilten Fahrerlaubnisse gespeichert. Informationen zum Fahrerlaubnisbestand bietet das ZFER aber nur begrenzt, denn der Wegfall von Fahrerlaubnissen durch Tod oder Wanderung kann nicht abgebildet werden. Außerdem fehlt ein Großteil der Alt-Fahrerlaubnisse. Aufgabe des Projektes war es daher, ein Verfahren zur jährlichen Fortschreibung einer Statistik zum Fahrerlaubnisbesitz für Deutschland zu entwickeln und für die Jahre 2002, 2003 und 2004 zu implementieren. Betrachtet werden neun nach Fahrzeugkategorien zusammengefasste Klassen (B/BE, C1/C1E,C/CE, D1/D1E/D/DE, A/A1 M, L, S (erst ab Fortschreibungsjahr 2005) und T. Der Anfangsbestand jeder Klasse für das Jahr 2002 wurde auf Basis der Ergebnisse empirischer Erhebungen und Informationen aus dem ZFER und unter Berücksichtigung geltender Übergangregelungen für Alt-Fahrerlaubnisse bestimmt. Die jährliche Fortschreibung in jeder Klasse geschieht in einem nach Geschlecht und Altersjahren differenzierten Bevölkerungskohortenmodell. Sie folgt dem konzeptionellen Grundgedanken, dass der Bestand zum Ende eines Jahres sich aus dem Bestand zum Ende des Vorjahres zuzüglich der Zugänge (Neuerteilungen, Zuwanderungen) und abzüglich der Abgänge (Todesfälle, Fortzüge) ergibt. In Abhängigkeit von den Regelungen jeder Fahrerlaubnisklasse (zum Beispiel Befristung der Geltungsdauer, Bestandsschutz für Alt-Fahrerlaubnisse) wurde die Konzeption entsprechend differenziert und angepasst. Das Ergebnis ist eine nach Alter, Geschlecht und Fahrerlaubnisklassen differenzierte Statistik, die die Zahl der Berechtigungen zum Führen eines Fahrzeugs ausweist, unabhängig davon in welchem Umfang von diesen Berechtigungen Gebrauch gemacht wird. Der vorliegende Bericht ist eine gekürzte Fassung des Forschungsberichtes. Während in letzterem die einzelnen Schritte der Erstellung der Fahrerlaubnisstatistik ausführlich und nachvollziehbar dargestellt sind, ist das Ziel des vorliegenden Berichtes eine ergebnisorientierte Darstellung der Fahrerlaubnisstatistik und ihrer Komponenten. Der ausführliche Bericht einschließlich eines gesonderten Tabellenanhangs liegen bei der Bundesanstalt für Straßenwesen vor.
Im Jahre 1990 haben die in den alten Bundesländern der Bundesrepublik Deutschland zugelassenen 34 Millionen Kraftfahrzeuge insgesamt rund 517 Milliarden Kilometer im In- und Ausland zurückgelegt. 89 Prozent dieser Jahresfahrleistung entfällt dabei auf Personenwagen. Güterkraftfahrzeuge haben eine Fahrleistung von 41 Milliarden Kilometer erbracht. Die mittlere Jahresleistung der Fahrzeuge beläuft sich auf 15.200 Kilometer. Die höchste Durchschnittsfahrleistung findet man mit 59.000 Kilometer pro Jahr bei den Zugmaschinen. Im Beitrag wird ferner die Jahresfahrleistung nach Fahrzeugarten aufgegliedert. Der Beitrag zeigt auch auf, dass bei Pkw die mittlere Jahresfahrleistung mit dem Fahrzeugalter abnimmt, mit der Fahrzeuggröße (Hubraum) zunimmt und bei Fahrzeugen mit Ottomotor niedriger ist als bei Dieselfahrzeugen.
Die Schätzung der Fahrleistung von Kraftfahrzeugen auf dem deutschen Straßennetz 2014 (Inlandsfahrleistung) basiert auf einer bundesweiten, automatisierten Verkehrszählung an 520 zufällig ausgewählten Straßenabschnitten während jeweils etwa 24 Stunden. In der Verkehrszählung werden alle Tages- und Jahreszeiten abgedeckt. Die Stichprobe der Straßenabschnitte ist nach Straßenklasse und Ortslage (inner-/außerorts) geschichtet, dabei werden alle Straßenklassen in der Erhebung berücksichtigt. Mithilfe der Abschnittslängen werden die empirisch erhobenen Verkehrsstärkewerte in Fahrleistungen transformiert und auf die Grundgesamtheit aller Abschnitte, d. h. das gesamte Straßennetz und das Gesamtjahr 2014 hoch gerechnet. Durch den kombinierten Einsatz von Detektoren und Videotechnik liegen die gezählten Verkehrsstärken nach Fahrzeugart und -nationalität untergliedert vor, sodass Fahrleistungen für 9 Fahrzeugarten ("8+1-Messung") und 38 Nationalitäten geschätzt werden können. Der Totalwert der Inlandsfahrleistung wird für das Jahr 2014 auf 743,82 Mrd. Fahrzeugkilometer (Fzgkm) geschätzt. Rund 81 % der Inlandsfahrleistung (ca. 601 Mrd. Fzgkm) entfallen auf Personenkraftwagen bzw. Pkw mit Anhänger. Die zweithöchste Fahrleistung findet sich bei Lieferwagen mit 51,8 Mrd. km. Im Schwerverkehr dominieren die Sattelzüge mit 26,2 Mrd. km. Aus der Hochrechnung der Daten der Verkehrszählung ergibt sich für 2014 ein Totalwert der Fahrleistung ausländischer Kraftfahrzeuge auf dem deutschen Straßennetz von knapp 42 Mrd. Fahrzeugkilometern. Der Ausländeranteil an der Inlandsfahrleistung 2014 liegt damit bei 5,6 %. Im Jahr 2002 lag die km-Summe der ausländischen Kfz auf dem deutschen Straßennetz noch bei 27,4 Mrd. km. Der aktuelle Wert von 41,8 Mrd. km entspricht somit einem Zuwachs um 53 %. Werden die amtlichen Unfallzahlen aus dem Jahr 2014 auf die entsprechenden Jahrestotale der Fahrleistungen von Kraftfahrzeugen bezogen, so lassen sich dadurch Risikokennziffern berechnen. Zum einen ist dies das Risiko der Unfallbeteiligung von Kraftfahrzeugen und zum anderen das Risiko von Kraftfahrzeugbenutzern, bei einem Unfall verletzt oder getötet zu werden. Beide Risikokennziffern lassen sich weiter nach Fahrzeuggruppe und Unfallschwere bzw. Verletzungsschwere differenzieren. Hierbei zeigt sich, dass Busse und vor allem motorisierte Zweiräder ein besonders hohes Risiko aufweisen. Eine Unterscheidung nach Straßenklasse erlaubt die Schlussfolgerung, dass die Unfallrisiken auf Bundesautobahnen mit Abstand am niedrigsten sind. Ein Vergleich der Unfallrisikokennziffern des Jahres 2014 mit denjenigen aus dem Jahr 2002 zeigt, dass zum Teil deutliche Verringerungen festzustellen sind. So ist die Gefahr einer Beteiligung an einem Unfall mit Personenschaden über alle Kraftfahrzeuge um 26 % zurückgegangen. Sogar noch stärker ist das Risiko gesunken, als Fahrzeugbenutzer in einem Straßenverkehrsunfall verletzt oder gar getötet zu werden (-29 %).
Die Gesamtfahrleistung von Kraftfahrzeugen (Kfz), also die Summe der Kilometer, die von einer bestimmten Fahrzeuggesamtheit innerhalb eines festgelegten Zeitraumes auf einem in räumlicher und sachlicher Hinsicht abgegrenzten Straßennetz zurückgelegt werden, ist eine zentrale Kenngröße zur Beschreibung der Inanspruchnahme der Straßenverkehrsinfrastruktur. In der Gesamtfahrleistung spiegelt sich unmittelbar das Ausmaß der räumlichen Austauschbeziehungen innerhalb von Wirtschaft und Gesellschaft wider. Mit der Fahrleistungserhebung (FLE) 2014 liegt für die Bundesrepublik Deutschland erstmals wieder seit 2002 detailliertes statistisches Datenmaterial zur Fahrleistung von Kraftfahrzeugen vor. Die Erhebung der Inländerfahrleistung, also der Fahrleistung der in Deutschland mit amtlichem Kennzeichen oder Versicherungskennzeichen angemeldeten Kfz, wurde weitgehend identisch zur Vorgängeruntersuchung aus dem Jahr 2002, d. h. als stichprobenartige Halterbefragung, angelegt. Mithin wurde für eine aus dem Zentralen Fahrzeugregister des Kraftfahrt-Bundesamts ausgewählte Stichprobe von Fahrzeugen mittels zweimaliger Tachostandsablesung (durch den betreffenden Kfz-Halter) die Fahrleistung des Fahrzeugs in einem durch das Erhebungsdesign vorgegebenen 10-wöchigen Berichtszeitraum innerhalb des Untersuchungsjahres 2014 erfasst. Einbezogen in die Erhebung wurden sämtliche Kraftfahrzeugarten, vom Mofa bis zur Sattelzugmaschine. Zur Ermittlung der Inländerfahrleistung 2014 wurden die Halter von insgesamt rund 162.650 zufällig ausgewählten Fahrzeugen befragt. Mit einer Rücklaufquote von 56 % in der Anfangsbefragung (erste Tachostandsablesung) und 85 % in der Schlussbefragung (zweite Tachostandsablesung), was einer Gesamtrücklaufquote von ca. 47 % entspricht, wurde eine erfreulich hohe Teilnahmebereitschaft verzeichnet. Dem allgemeinen Trend folgend, war diese Quote zwar niedriger als bei den Vorläuferprojekten aus den Jahren 1990, 1993 und 2002, lag aber vor allem durch die Anwendung des neu entwickelten Mixed-Mode-Designs (Erweiterung der schriftlich-postalischen Antwortmöglichkeit um eine Online-Variante) sogar leicht über den im Vorfeld der Befragung angestrebten Werten. Die Inländerfahrleistung betrug im Jahr 2014 bei einem mittleren, d. h. jahresdurchschnittlichen Kfz-Anmeldebestand (der Kfz-Bestand schließt auch Kraftfahrzeuge mit Versicherungskennzeichen mit ein) von 53,5 Mio. Fahrzeugen rund 707 Mrd. Fahrzeugkilometer. Der ganz überwiegende Teil, nämlich knapp 599 Mrd. km oder 85 % der Inländerfahrleistung entfällt auf Personenkraftwagen (inkl. Wohnmobile). Güterkraftfahrzeuge (Lastkraftwagen und Zugmaschinen) haben im Jahr 2014 eine Fahrleistung von rund 84 Mrd. km erbracht, was ca. 12 % der gesamten Inländerfahrleistung entspricht. Bezieht man die Gesamtfahrleistung der in Deutschland angemeldeten Kraftfahrzeuge auf den mittleren Kfz-Anmeldebestand 2014, erhält man eine mittlere Fahrleistung von 13.200 km pro Fahrzeug und Jahr. Für Personenkraftwagen wurde 2014 eine durchschnittliche Fahrleistung von rund 13.600 km je Pkw ermittelt, für Lastkraftwagen betrug diese 23.900 km je Lkw. Die höchsten durchschnittlichen Fahrleistungen findet man bei Sattelzugmaschinen im gewerblichen Verkehr und bei Fernlinienbussen mit 110.600 bzw. 194.300 km/Jahr. Sehr niedrig sind demgegenüber mit 3.000 km/Jahr die mittleren Jahresfahrleistungen der motorisierten Zweiräder. Die Inlandsfahrleistung (Gesamtfahrleistung deutscher und ausländischer Fahrzeuge auf dem inländischen Straßennetz) sowie das Unfallrisiko im Straßenverkehr sind Gegenstand des Berichts: BÄUMER, M. et al. (2017): Fahrleistungserhebung 2014 " Inlandsfahrleistung und Unfallrisiko. Berichte der Bundesanstalt für Straßenwesen, Reihe Verkehrstechnik, Heft V 291, Bergisch Gladbach.
In the context of this study, different data sources for accident research were examined regarding their possible data access and evaluated concerning the individual quality and extent of the data. Analyses of accidents require detailed and comprehensive information in particular concerning vehicle damages, injury patterns and descriptions of the accident sequence. The police documentation supplies the basic accident statistics and is amended in the context of the forensic treatment by further information, e.g. by medical and technical appraisals and witness questionings. As a new approach to the data acquisition for the analysis of fatal traffic accidents, the information was made usable which was collected by the police and by the investigations of the public prosecutor. The best strategy for obtaining reliable, extensive and complete data consists of combining the information from these two sources: the very complete, but elementary statistic data of the Niedersächsisches Landesamt für Statistik (Lower Saxony State Authority of Statistics), based on the police documentation as well as the very extensive accident information resulting from the investigation documentation of the public prosecutor after conclusion of the procedure, the so-called Court Records. Of all 715 fatal traffic accidents, which happened in the year 2003 in the German State of Lower Saxony, 238 cases were selected by means of a statistically coincidental selective procedure based on a statistically representative manner (every third accident). These cases cover the investigation documents of the 11 responsible public prosecutor- offices, which were requested and evaluated while preserving the data security. Of the 238 cases 202 cases were available, which were individually coded and stored in a data base using 160 variables. Thus a data base of a sample of representative data for fatal accidents in Lower Saxony was set up. The data base contains extensive information concerning general accident data (35 variables), concerning road and road surface data (30 variables), concerning vehicle-specific data (68 variables) as well as concerning personal and injury data (27 variables).
The increasing economics in India has an enormous growth of its road traffic. As observed from official Indian accident statistics the number of road fatalities are one of the highest worldwide. In contrast to most industrialized nations they have an rapidly increasing trend. To come along with this trend it becomes more than essential to understand the traffic accident situation. The official Indian accident statistics gives a glimpse of only basic information. Therefore more detailed data is needed. By using In-depth accident data and officially representative statistics the current accident situation can be evaluated in India, if a suitable weighting methodology is considered. Hence in 2009/2010 a pilot study with the collaboration partner JP-Research India pvt. Ldt. was gathered in Tamil Nadu in south of India. In-depth accident investigations were done around the Coimbatore area on four highways. At first, the collected data is evaluated. Due to consequent and continuous further development based on the first approach a methodology similar to NASS/CDS/GES in the US and GIDAS in Germany was developed. Of course all relevant accident related parameters including pictures and severity information were collected. As a matter of fact based on scaled sketches and reconstruction benefit analyses can be done in order to analyze the accident scenery in India. As a first outcome influence from infrastructure, missing education and vehicle safety were identified as key parameters in order to reduce the number of accidents and casualties. To compare the accident situation against international standards an accident classification for left hand traffic was developed based on the German Insurance classification system. Looking into detail additional accident types were identified and added to create an Indian accident type catalogue. The positive results encouraged several OEMs to participate in this investigation and together with BOSCH a consortium was established in 2010/11. Within one year from beginning in May 2011 about 200 highway accidents were collected, reported and reconstructed using the new standard. Hence a first good overview of the accident situation is available for the Coimbatore Tamil Nadu area. The major target for establishing accident investigations is the extension towards other states of India and urban areas to achieve a better overview of the accident scenery. Therefore local and national authorities have to be embedded in order to strengthen the awareness against traffic safety.
The share of high-tensile steel in car bodies has increased over the last years. While occupant safety has generally benefited from this measure, there is a potential risk that, as a result, rescue time may increase considerably. In more than 60% of all car occupant fatalities a technical rescue has been necessary. These are in particular those cases where occupants die immediately at the accident scene. Therefore, in these cases "rescue time" is a very sensitive parameter. In addition to the general analysis of the need of technical rescue and the actual rescue time depending on model years, the injury pattern of occupants requiring technical rescue will be analysed to provide advice for rescue teams. Furthermore, a detailed analysis of rescue measures for the most popular car models depending on the safety cell design is given.
Nowadays, traffic accidents are recorded in historical databases. Regarding the huge quantity of data, the use of data mining tools is essential to help Experts, for automatically extracting relevant information in order to establish and quantify relations between severity and potential factors of accidents. An innovative approach is here proposed for an in depth investigation of real world accidents data base. Mutual information ratio based on conditional entropies is used to quantity the association strength between an accident outcome descriptor (injury severity) and other potential association factors. Information theoretic methods help to select automatically groups of factors mostly responsible of the severity of accident.
The accident research of Hanover and (from 1999 on) Dresden registered 736 leg injuries (AIS ≥ 2) from 1983 to March 2007. 174 of these injuries (23.6 %) were fractures or dislocations of foot and ankle. 149 feet of 141 front seat car occupants in 140 cars were affected. Of these 117 were drivers, 24 were front seat passengers. The mean age of occupants was 38.5 -± 16.8 years. Ankle fractures were the most frequent injury (n = 82; 80 malleolar fractures, 2 pilon fractures). 34 fractures and dislocations affected the hindfoot (5 talus and 26 calcaneal fractures, 2 subtalar dislocations and 1 subtotal amputation) , 16 to midfoot (4 navicular fractures, 5 cuboid fractures, 3 fractures of cuneiformia, 2 dislocations of chopart joint, 1 subtotal amputation, and one severe decollement) and 39 the forefoot (metatarsal fractures). Open fractures were seldom seen (2 malleolar fractures, 1 metatarsal fracture). Both feet were injured in 10 cases. 33 occupants (23.4 %) were polytaumatic had a polytrauma, 17 of them died. 81 percent of the occupants were belted. The cars were divided in pre EuroNCAP (year of manufacture 1997 and older) and post EuroNCAP cars (year of manufacture 1998 and newer). Most of the foot injuries were seen in pre EuroNCAP cars. Most of the occupants sat in compact cars (40 drivers and 9 front seat passengers) and large family cars (27 drivers and 7 co-drivers). 49 of 140 accidents occurred on country roads, 26 on main roads and 13 on motorways. The crash direction was mostly frontal. Generally were found no differences of delta v- and EES-level between the injured foot regions, but divided into pre- and post-EuroNCAP cars there was a tendency to higher delta v- and EES-levels in newer cars. The frequency of foot injuries increased linearly with increasing delta v-level; but above delta v-level of 55 km/h the linear increase only was seen in pre-EuroNCAP cars, post-EuroNCAP cars showed no further increase of injuries. The footwell intrusion showed no difference between the injured foot regions but pre-EuroNCAP cars had a tendency to higher footwell intrusion. There were no differences in footwell intrusion between the car types. Only 29 of 174 fractures or dislocations of foot were seen in post-EuroNCAP cars, the predominate number of these injuries (n = 145) were noticed in pre-EuroNCAP cars. A lower probability of long-term impairment was found in post-EuroNCAP cars for equal delta v levels, using the AIS2008 associated Functional Capacity Index (FCI) for the foot region.
This study examines the severity and types of injuries sustained by child pedestrians aged 18 years and below in order to identify the body regions at greatest risk for injury in a pedestrian accident. Detailed medical diagnoses were reviewed retrospectively for 572 child pedestrians admitted to an urban pediatric trauma center with injuries during the time period from January 2001 to December 2005. Eighty percent of these children sustained AIS 2 or greater injuries, most commonly to the lower extremity (41%) and head (34%). Fortyfour percent of admitted children had more significant AIS 3 or greater injuries primarily to the head (58%), thorax (17%) and lower extremities (14%). Testing procedures to assess the child- interaction with the motor vehicle should include injury assessment for the pediatric head, thorax and lower extremities. This understanding of how child pedestrians interact with motor vehicles may provide insight into effective countermeasures with potential for implementation in vehicle designs world-wide.
Europe has benefited from a decreasing number of road traffic fatalities. However, the proportion of older road users increases steadily. In an ageing society, the SENIORS project aims to improve the safe mobility of older road users by determining appropriate requirements towards passive vehicle safety systems. Therefore, the characteristics of road traffic crashes involving the elderly people need to be understood. This paper focuses on car occupants and pedestrians or cyclists in crashes with modern passenger cars. Ten crash databases and four hospital statistics from Europe have been analysed to answer the questions on which body regions are most frequently and severely injured in the elderly, and specific injuries sustained by always comparing older (65 years and above) with midâ€aged road users (25â€64 years). It was found that the body region thorax is of particularly high importance for the older car occupant with injury severities of AIS2 or AIS3+, where as the lower extremities, head and the thorax need to be considered for older pedestrians and cyclists. Further, injury risk functions were provided. The hospital data analysis showed less difference between the age groups. The linkage between crash and hospital data could only be made on a general level as their inclusion criteria were quite different.
The purpose of this work is to investigate the association between the injuries in motorcycle accident and the main accident configurations. The data were provided by a multicentric case-control study MAIDS regarding the risk of crash and injuries of motorcyclists. Chi-square test was used to evaluate the relationship between the variables and a logistic regression was performed to evaluate the association of injury severity with some variables supposed to be predictive factors. Lesive patterns characterized by internal haemorrhages are mainly associated with fronto-lateral crashes, above all in urban areas. Lacerations or abrasions, mainly reported in torso and lower extremities, are mostly associated with single crashes or accidents in queue also for crashes occurred to low speed (< 50 km/h). The severity of injuries is highly associated with impact speed, regardless of the crash configuration. Fractures and haemorrhages play an important role in determining the severity of injuries. The upper extremities are the most frequently traumatised anatomic areas.
Novice drivers are at high risk for crash involvement. We performed an analysis of causations, injury patterns and distributions of novice drivers in cars and on motorcycles in road traffic as a basis for proper measurements. Method Data of accident and hospital records of novice drivers (licence < 2 years) were analysed focusing the following parameters: injury type, localisation and mechanism, Abbreviated Injury Scale (AIS), maximum AIS (MAIS), delta-v, collision speed and other technical parameters and have been compared to those of experienced drivers. In 18352 accidents in the area of Hannover (years1985"2004), 2602 novice drivers and 18214 experienced drivers were recorded having an accident. Novice car drivers were more often and severe injured than experienced and on motorcycles the experienced riders were at higher risk. Novice drivers of both groups sustained more often extremity injuries. 4.5 % novice car drivers were not restraint compared to 3.7 % of the experienced drivers and 6.1 % novice motorcycle drivers did not wear a proper helmet (versus 6.5 %). Severe injuries sustained at a rate of 20 % at collision speeds below 30 km/h and in 80% at collision speeds above 50 km/h. Novice car drivers drove significant older cars. The risk profile of novice drivers is similar to those of drivers older than 65 years. Structural protection and special lectures like skidding courses could be proper remedial action next to harder punishment of violations.
A lot of factors are related to a road traffic accident; particularly human factors such as road use characteristic, driving maneuver characteristic and safety attitude are the major ones. As a random factor is also included, so it is necessary to minimize the contribution of a random factor to identify human factors related to a road traffic accident. There are several standpoints for traffic accident analysis, such as vehicle-based, location-based and driver-based. And it is effective to analyze driver-based traffic accident data for discussion on the relation between human factors and accidents. An integrated traffic accident database system was developed for analysis considering driver- accident and violation records by ITARD, and several studies were carried out for the evaluation. Useful data for discussion on the relation between types of collision and traffic violations, and the effect of accident experience to the following accident were obtained.
Intelligente Bauwerke - Anforderungen an die Aufbereitung von Messgrößen und ihrer Darstellungsform
(2015)
Ziel des Forschungsvorhabens FE 15.0548/2011/GRB war die Ausarbeitung einer Konzeption zu Anforderungen an die Aufbereitung und Verarbeitung von Messgrößen und ihrer Darstellung. Dies beinhaltete die Evaluierung und Entwicklung verschiedener modellbasierter und statistischer Analyseverfahren, die über den bisherigen Stand der Technik der Bauwerksüberwachung hinausgehen. Der Nutzen liegt in der Herausfilterung relevanter Informationen aus umfangreichem Datenmaterial (Vor-Aggregation) sowie der Erzeugung von belastbaren Zustandsinformationen bzw. Vorergebnissen hierzu durch eine frühzeitige, leistungsfähige Plausibilisierung. Es wurde gezeigt, dass durch den Einsatz von leistungsfähigen, gedächtnisbehafteten, selbstlernenden Algorithmen für die Sensorfusion, Interpolation, Plausibilitätserhöhung und Treffen fachtechnischer Monitoringaussagen Ergebnisse erzielt werden können, die bezüglich der Verarbeitung von Mess- und Erfassungsdaten weit über den aktuellen Stand beim Brückenmonitoring hinausgehen. Anhand mehrerer Szenarien, für die reale Erfassungsdaten zur Verfügung standen, wurde gezeigt, dass diese Verfahren sehr zuverlässig verschiedenste Signalstörungen, wie Messausreisser, erhöhtes Rauschen und Brummeinstreuung erkennen können. Nur durch die frühzeitige und zuverlässige Plausibilisierung von Sensordaten von Brückenbauwerken kann verhindert werden, dass offensichtlich fehlerhafte Messwerte (wie z.B. Messausreisser, störungsbehaftete Messungen) zu falschen Vorhersagen der Systemzuverlässigkeit von Brückenbauwerken durch rechnergestützte Systemmodelle führen.